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| from src.executive_assistant.env import ExecutiveAssistantEnv | |
| from src.executive_assistant.agent import BaselineAgent | |
| # Create env | |
| env = ExecutiveAssistantEnv(task_name="easy_deadline_extraction") | |
| # Create agent | |
| agent = BaselineAgent() | |
| # Reset env | |
| obs = env.reset() | |
| print("STARTING...\n") | |
| # Run loop | |
| for step in range(10): | |
| decision = agent.choose_action(env.task_name, obs) | |
| print(f"\nSTEP {step+1}") | |
| print("Reasoning:", decision.reasoning) | |
| print("Action:", decision.action) | |
| obs, reward, done, _ = env.step(decision.action) | |
| print("Reward:", reward) | |
| if done: | |
| print("\nTASK COMPLETE ✅") | |
| break | |